Amsterdam IMAging and Clinical GliOma Dataset; IMAGO

Résumé fourni par la source

The Amsterdam University Medical Centers IMAging in GliOma (IMAGO) dataset contains 1,700 adult-type diffuse glioma patients with structural MRI, histological, molecular, and survival information. Its first release includes 500 patients with preoperative structural MRI (T1w pre-contrast, T1w post-contrast, T2w, and T2-FLAIR). Postoperative MRI with the same sequences as the preoperative MRI are included for patients scanned within 14 days of surgery (381 patients). Pre- and postoperative apparent diffusion coefficient (ADC; derived from diffusion-weighted MRI; 497/500 and 377/381 respectively) and relative cerebral blood volume (rCBV; derived from dynamic susceptibility contrast MRI; 269/500 and 24/381 respectively) images are provided. All sequences are registered to MNI standard space and skull stripped. Histological and molecular data include IDH (500/500) and 1p/19q codeletion status (170/500), and WHO CNS5 (2021) tumor grade (500/500). Preoperative and postoperative nnUnet-based tumor region segmentations with human quality check are available for a subgroup of cases. The dataset is usable to create synthetic images, tumor segmentations, and to predict histological and molecular features in adult-type diffuse glioma.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.